A method to use haptic feedback of laryngoscope force vector for endotracheal intubation training
File(s)ICRA_Intubation_Haonan.pdf (4.89 MB)
Accepted version
Author(s)
Zhou, Haonan
Yang, Siyu
Halamek, Lou
Nanayakkara, Thrishantha
Type
Conference Paper
Abstract
Endotracheal intubation is a mandatory competency for most medical staff. This procedure involves opening the entrance of the patient's upper windpipe using a laryngoscope and then inserting a tube into the windpipe to supply Oxygen to the patient. This time critical intervention requires careful control of the force vector on the tongue to lift it parallel to the jaw than to push the jaw to open the mouth. However, traditional intubation training methods in which novices practice intubation on prostheses lack haptic feedback to improve force control. We designed a sensorised intubation training phantom that can provide trainees with vibrotactile feedback reflecting the laryngoscope's force on the tongue. The critical component of this phantom is a silicon rubber tongue embedded with magnets and hall effect sensors. We calibrated the hall effect sensor readings to predict the force vector exerted on the tongue with errors less than 0.5 N in the lifting and pushing directions. We conducted a controlled experiment, mainly comparing the training results between participants with and without haptic feedback. Results show a statistically significant drop in the undesired forces due to haptic feedback, and the skill is retained when tested after 24 hours without haptic feedback.
Date Issued
2023-07-04
Date Acceptance
2023-01-17
Citation
IEEE International Conference on Robotics and Automation : ICRA : [proceedings] IEEE International Conference on Robotics and Automation, 2023, pp.6810-6816
ISSN
2152-4092
Publisher
IEEE
Start Page
6810
End Page
6816
Journal / Book Title
IEEE International Conference on Robotics and Automation : ICRA : [proceedings] IEEE International Conference on Robotics and Automation
Copyright Statement
Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE International Conference on Robotics and Automation : ICRA
Publication Status
Published
Start Date
2023-05-29
Finish Date
2023-06-02
Coverage Spatial
London, UK